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lme4 (version 0.2-4)
Linear mixed-effects models using S4 classes
Description
Fit linear and generalized linear mixed-effects models.
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Install
install.packages('lme4')
Monthly Downloads
539,225
Version
0.2-4
License
GPL version 2 or later
Maintainer
Douglas Bates
Last Published
December 2nd, 2025
Functions in lme4 (0.2-4)
Search all functions
formulas
Utilities for formulas
corMatrix
Generate the correlation matrix
VarCorr
Extract variance and correlation components
Hsb82
High School and Beyond - 1982
intervals
Confidence Intervals on Coefficients
GLMM
Fit Generalized Linear Mixed Models via PQL
coefGets
Assign parameters
Names
Extract or assign Names
guImmun
Immunization in Guatemala
BIC
Bayesian Information Criterion
corFactor
Extract the correlation factor
guPrenat
Prenatal care in Guatemala
EMupdateGets
Update an object in the EM algorithm
fixed.effects
Extract Fixed Effects
glmm-class
Class "glmm"
lmeLevel
Construct an lmeLevel object
VarCorr-class
Class "VarCorr"
pdCompSymm-class
Class "pdCompSymm"
pdgradNumeric
Evaluate the pdmatrix gradient numerically
family-class
Class "family"
pdBlocked-class
Class "pdBlocked", blocked pd matrices
pdfactor-class
Factors of positive-definite matrices
logLik-methods
Methods for Function logLik
groupedData-class
Class "groupedData"
isInitialized
Check for initialization
lmeLevel-class
Class "lmeLevel"
pdMatrix
Return the positive-definite matrix
lme
Fit linear mixed-effects models
pdFactor
Square-root factor
nfnGroupedData-class
Class "nfnGroupedData"
lmList-class
Class "lmList"
lmeControl
Control values for lme
model.matrixGets
Assign the model.matrix
lmList
List of lm Objects with a Common Model
pdNatural-class
Class "pdNatural", positive-definite matrices
nfGroupedData-class
Class "nfGroupedData"
lme-class
Class "lme"
glmmStruct
Create a glmm object
pdLogChol-class
Class "pdLogChol", positive-definite matrices
pdmatrix-class
Positive-definite matrices
nlme-internal
Internal nlme functions
pdMat-class
Class pdMat, positive-definite matrices
summary.reStruct-class
Class "summary.reStruct"
pdDiag-class
Class "pdDiag"
random.effects
Extract Random Effects
nlmeInternal-class
Some internal classes
reStruct-class
Class "reStruct"
solve-methods
Methods for Function solve
pdIdent-class
Class "pdIdent"
weightedGets
Modify the weights
reStruct
Create an reStruct object
pdgradient
Evaluated the pdmatrix gradient
matrixGets
Assign the matrix
responseGets
Modify the response
pooledSD
Extract pooled standard deviation
corrmatrix-class
Class "corrmatrix"
LMEgradient
The gradient in lme optimization
LMEoptimizeGets
Optimize linear mixed-effects
EMstepsGets
Perform EM iterations
nmGroupedData-class
Class "nmGroupedData"
logDet
Logarithm of the determinant
nffGroupedData-class
Class "nffGroupedData"
s3bby
Responses simulated by Rodriguez and Goldman
s3bbx
Covariates in the Rodriguez and Goldman simulation